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Black widow Optimization Algorithm : A new Bio-Inspired Algorithm to solve the Quadratic Assignment Problem

Authors

  • Khaoula Cherrat Department of Computer Science, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco. Author
  • Toufik Mzili Department of Computer Science, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco. Author https://orcid.org/0000-0002-5733-3119
  • Mohammed Essaid riffi Department of Computer Science, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco. Author

Abstract

The Black Widow Optimization (BWO) approach is an outstanding population-based approach for solving engineering optimization issues. The Quadratic Assignment Problem (QAP) is a well-known combinatorial problem. This problem is  NP hard which means that it is very difficult to solve it .This work present an adaptation of BWO to solve QAP.

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Author Biography

  • Toufik Mzili, Department of Computer Science, Faculty of Science, Chouaib Doukkali University, EI Jadida, Morocco.

    Dr Toufik Mzili. I'm a professor and researcher at Chouaib Doukkali University, specializing in optimization and artificial intelligence. With extensive experience as an editor for various journals and books, I bring a wealth of knowledge to the academic community. Throughout my career, I have authored numerous articles published in prestigious Q1 and Q2 quality journals, with a significant impact factor in my areas of expertise.

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Published

2024-07-09

Versions

Issue

Vol. 1 No. 1 (2024): Journal of optimization and artificial intelligence

Section

Articles

How to Cite

Black widow Optimization Algorithm : A new Bio-Inspired Algorithm to solve the Quadratic Assignment Problem. (2024). Journal of Optimization and Artificial Intelligence, 1(1). http://joai-journal.org/index.php/joai/article/view/4